درخت حوزه‌های تخصصی

The human resource management works closely with all the employees in the organization. An HRM must allow the employees to make constructive criticism when there is a need for it. The duty of organizing the company towards achieving their set goals lies in the hands of the HRM. A Human Resource management process can best be distinct as a tool which is utilized to collect, organize, present, keep and share applied information about the human resource of an organization. To this end, this research present a Throughput model framework that describes individuals' decision-making processes in an algorithmic HRM context. The model depicts how perceptions, judgments, and the use of information affect strategy selection, identifying how diverse strategies may be supported by the employment of certain decision-making algorithmic pathways. In focusing on concerns relating to the impact and acceptance of artificial intelligence (AI) integration in HRM, this research draws insights from multidisciplinary theoretical lenses, such as Al-augmented and HRM assimilation processes, AI-mediated social exchange, and the judgment and choice literature. Results highlight the use of algorithmic ethical positions in the adoption of AI for better HRM outcomes in terms of intelligibility and accountability of AI-generated HRM decision-making, which is often underexplored in existing research.

The financial anomalies, which have brought about challenges for the nature of efficient-market hypothesis, provide ample experimental evidence on the deviation of market from rationality. According to the efficient-market hy-pothesis, investors avail themselves of all the information available in the market, and then attempt a thorough and painstaking interpretation of it. The empirical evidence, however, reveals that most investors fail to imple-ment rigorous information processing, thereby rendering to a number of behavioral theories concerning market inefficiency and biased information processing. The current research sets out to identify and scrutinize the im-pact of the CEO’s perceptual biases in judgment and economic decision-making on the reporting quality of the firms listed on the Tehran Stock Ex-change. The Purpose of this study CEO Overconfidence and Overinvestment by Role of Economic moderators Tehran Stock Exchange (TSE). One hun-dred five companies were selected as the sample size by systematic removal sampling reviewed in 2012-2019. Due to its dichotomous dependent variable, this study uses probit regression to test the research hypotheses. The results indicated the significant positive effect of CEO overconfidence on overin-vestment. It was also noted that Exchange Rate strengthens the positive effect of CEO overconfidence on overinvestment. Based on these results, the CEO's decisions as a decision-maker in charge of any company, especially under inflationary conditions, can play a substantial role in future corporate investment levels. The findings reveal that the indices of the CEO’s percep-tual biases in judgment and economic decision-making exert a significantly negative effect on financial reporting reliability and competitiveness.

Criteria weighting is a crucial step in the entire decision-making process. Determining the appropriate weights will lead to more reliable results. This study aims to use a coalitional game method for calculating proper criteria weights in multi-criteria decision-making (MCDM). In this paper, the Shapley value method is used to determine the weight of criteria. A numerical case study of 65 banks has been used to explain the efficiency of the proposed method. To this end, using the TOPSIS technique, the alternatives are ranked once in Shapley value and again in the Shannon entropy weighted matrix. Then the results are obtained applying Spearman rank correlation coefficient are compared to efficiency-based ranking using data envelopment analysis (DEA) as a powerful benchmarking method. In the proposed method, unlike many conventional weighting methods, the selection of criteria weights is made in a coalitional game with the participation of all criteria; the obtained weights are both intuitively and objectively fairer, and more reliable rankings are provided. According to the logical and fair calculation of weights, having a simple and understandable mathematical method, and no need for experts’ judgment, the proposed method can be used in real problems. Especially where realistic ranking has a significant impact on the equitable allocation and absorption of resources.

This study is a structural equation modeling study. It has investigated the effect of literary tourism during the Covid-19 virus pandemic on tourists' behavioral goals through the attitude of mental norms. The present study is a one-section survey. The statistical population of this study includes all tourists who visited the cultural and spiritual sites of Shiraz, like Hafez and Saadi tombs. Literary tourism is a concept that praises the culture and heritage of a destination. The concept is to go to locations worldwide highlighted in some non/fictional novels. They can fascinate new tourists, increase the number of domestic travelers, and promote tourism destinations. Because the sample size is unknown through Cochran's formula with a 95% confidence level, 384 people were selected by the available sampling method. They answered the questionnaire about the effect of literary tourism during the Covid-19 virus pandemic on tourists' behavioral goals. The collected data were analyzed by using Amos software and SPSS. Confirmatory factor analysis, the reliability and validity of the contract measurement model, Cronbach's alpha results (above 0.7), and composite reliability (greater than 0.7) for the reliability and mean of the extracted variance (greater than 0.5) were confirmed. The structural equation model was used to test research hypotheses and the relationships between research variables (spiritual factors, behavioral purpose). The results showed that spiritual variables, in general, have a positive effect on the behavioral goal of tourists through the attitude of tourists' mental norms. This attitude was also recognized as a significant mediator between spiritual perception and behavioral goals. The findings of this study indicate that literary tourism has a positive, significant effect on increasing re-visit tourism destinations through attitude, mental norms, and perceived behavioral control.

Due to the rapid advancements in computer technology, researchers are attracted to solving challenging problems in many different fields. The price of rainbow options is an interesting problem in financial fields and risk management. When there is no closed-form solution to some options, numerical methods must be used. Choosing a suitable numerical method involves the most appropriate combination of criteria for speed, accuracy, simplicity and generality. Monte Carlo simulation methods and traditional numerical methods have expensive repetitive computations and unrealistic assumptions on the model. Deep learning provides an effective and efficient method for options pricing. In this paper, the closed-form formula or Monte-Carlo simulation are used to generate data in European and Asian rainbow option prices for the deep learning model. The results confirm that the deep learning model can price the rainbow options more accurately with less computation time than Monte-Carlo simulation.

After closing, the multi-period portfolio can be corrected and revised at regular intervals. The philosophy behind using multi-period portfolio models is that investors often have a multi-period view of future changes in assets, which can be the result of technical and fundamental analysis or statistical model analysis. In conventional multi-period portfolio models, it is assumed that the forecast and correction time horizons are the same for all assets. However, one asset may be forecasted over a one-month horizon while another may be forecasted over a two-month horizon, and both may be revised in the future. The purpose of this study is to present a multi-period portfolio model in which assets have different time horizons for corrections or an asset may not be traded for the first few periods and then enter the correction stage. In this model, fuzzy variables defined in a credibility space are used to describe the return, and the credibility measure controls the risk. The model's objective function is to maximize the portfolio's ultimate wealth, and a constraint is used to control portfolio risk, in which the validity of the portfolio's ultimate wealth below a certain threshold is controlled at a certain level of confidence. A combination of particle swarm optimization and simulation is used to find the best solution. Finally, using a numerical example, the model is implemented on a portfolio with 6 assets and 4 monthly time steps on the Tehran Stock Exchange.

The main drivers of value creation in a ‘brand community’ are social networking, community engagement, impression management, and brand use. Marketers are therefore interested in determining which factors affect the value creation practices. This study examines the impact of the Interactivity of Electronic Word of Mouth (EWOM) systems on value creation practices in a brand community, which in turn influences the loyalty of the customers. In this regard, a conceptual model was developed and tested by the researchers of the current study. The results indicate that perceptions of the users regarding the interactivity of EWOM systems, highly impact only three of the four value creation practices including community engagement practices, impression management practices, and brand use practices. Furthermore, the researchers found that collective value creation practices could significantly and directly enhance brand loyalty. Several theoretical contributions and managerial implications were also discussed

Purpose: The purpose of this study was to investigate the effect of ethics-oriented leadership and political skills of digital organizational developments on accounting students' perceptions. Method: The study population in this study was accounting students in Shiraz. The statistical population of this study includes all accounting students in Shiraz, whose number is 850 people. The number of samples was 265 based on the Morgan table. 400 questionnaires were distributed electronically and randomly and 265 questionnaires were selected. After data collection, structural equations were analyzed using SPSS and SMART PLS software. Findings: Based on the results, ethical leadership has a positive and significant relationship with accounting students' perception of leadership effectiveness. Political skills have a negative and significant relationship with accounting students' perception of leadership effectiveness. Machiavellianism mediates the role of leadership in the relationship between ethical leadership and accounting students' perceptions of leadership effectiveness. Machiavellianism has an increasing mediating role in political skills and accounting students' perceptions of leadership effectiveness. Conclusion: This article is practical. Therefore, its main contribution is to clarify the discussion about the impact of digital transformation in the accounting sector and the importance of accounting ethics in the digital age. Nevertheless, the results can be interesting for researchers, policymakers, teachers, professional institutions, and accounting professionals.

Small and medium enterprises (SMEs) have become a vital factor for national competitiveness and firms and companies, and the world is increasingly moving towards a knowledge-based economy. Innovation and technological changes are strongly influenced by the country/place where they occur. The main purpose of this study is to present the framework of SME innovation strategy with the approach of the fourth generation industry in Iran, which has been done using the GT method i.e a blend of qualitative and quantitative methods. The research population includes small and medium businesses and industrial townships in Tehran. The method of data collection in the qualitative part is the interview and in the quantitative part a questionnaire. The findings show that the innovation strategy framework in SME in the fourth industrial revolution is one of the causal factors with 5 components including small and medium businesses, organization maturity model, digitization, rules and regulations and innovation strategy. The results consist of 8 sub-components, which can be enumerated as market development, increasing exports, increasing productivity, creating added value, improving financial credits, training work managers, entrepreneurship and finally creating employment. The results show that the program factors have an effect on the facilitating factors; the causal factors on the innovation framework; the informational factors on the obstacles; supervisory and control factors on facilitating factors; barriers on the innovation framework; ; Financial resources have an effect on obstacles, consequences on innovation framework and structural factors on obstacles in small and medium enterprises. In our country, despite the fact that more than 59% of all production units are included in the EMS small and medium industries group,  these companies have not gained a significant share in the national gross product and creating added value and are suffering from severe shortages. While small and medium-sized companies can move away from the traditional focus on the product and take steps in the development of product innovation by using the fourth generation industry and new technology, creating a strategy and coming up with new products and services  will create more added value; The formulation of the strategy for any organization calls for an innovative point of view .

Tour guides are considered as one of the key players within the tourism supply chain, serving as direct interfaces with visitors and acting as cultural mediators between diverse cultures. They exert a significant influence on tourists' intentions for repeat visits. Nowadays, tourists are not merely seeking basic information from guides, as they can easily access such information online. Instead, they are in search of creative, authentic, interactive experiences with participatory learning, demanding the presence of creativity in tour guides. Consequently, guides need to demonstrate new forms of creativity in their performance. Creativity is a pivotal aspect for achieving professional success in the realm of tour guiding. The depth of their professional knowledge and their creative abilities significantly impact the quality of tours and the portrayal of destinations. As cultural intelligence is one of the critical dimensions of creativity, this research aims to explore the relationship between cultural intelligence and the creativity of tour guides. Using a library review method, it examines the role of cultural intelligence, its dimensions, and indicators. Ultimately, it presents a conceptual framework for fostering the creativity of tour guides, grounded in the principles of cultural intelligence.